• Journal of Acupuncture Research
• /
• 제30권2호
• /
• pp.9-15
• /
• 2013

Objectives : This study was done for reporting the effect of moxibustion therapy on Ryodoraku score of the patients with degenerative arthritis of knee joint. Methods : We investigated 65 cases of patients with degenerative arthritis of knee joint, and devided patients into two groups : One group treated by moxibustion therapy, which was not applied to the other group we analyzed of each group the Ryodoraku score(F1, F6) of each group before and after moxibustion therapy and compared it. Results : 1. In moxibustion therapy group compared with baseline, at final, Ryodoraku score(F1, F6) was significantly increased. 2. At final, moxibustion therapy group showed significant increase on Ryodoraku score(F1, F6) score compared with non moxibustion therapy group. Conclusions : It is suggested that Ryodoraku score(F1, F6) should be available for diagnosing degenerative arthritis of knee joint.

• 한국어정보학회:학술대회논문집
• /
• 한국어정보학회 2016년도 제28회 한글및한국어정보처리학술대회
• /
• pp.321-323
• /
• 2016

최근 연구에서 기계학습 중 지도학습 방법으로 개체명 인식을 하고 있다. 그러나 지도 학습 방법은 데이터를 만드는 비용과 시간이 많이 필요로 한다. 본 연구에서는 주석 된 말뭉치를 사용하여 지도 학습 방법을 사용 한다. 의생명 개체명 인식은 Protein, RNA, DNA, Cell type, Cell line 등을 포함한 텍스트 처리에 중요한 기초 작업입니다. 그리고 의생명 지식 검색에서 가장 기본과 핵심 작업 중 하나이다. 본 연구에서는 순환형 신경망과 워드 임베딩을 자질로 사용한 조건적 임의 필드에 대한 성능을 비교한다. 조건적 임의 필드에 N_Gram만을 자질로 사용한 것을 기준점으로 설정 하였고, 기준점의 결과는 70.09% F1 Score이다. RNN의 jordan type은 60.75% F1 Score, elman type은 58.80% F1 Score의 성능을 보여준다. 조건적 임의 필드에 CCA, GLOVE, WORD2VEC을 사용 한 결과는 각각 72.73% F1 Score, 72.74% F1 Score, 72.82% F1 Score의 성능을 얻을 수 있다.

• 대한한방소아과학회지
• /
• 제30권3호
• /
• pp.31-41
• /
• 2016

Objectives The purpose of this study is to investigate the characteristics of Ryodoraku Score in the children who visited department of pediatrics, hospital of Korean medicine with allergic rhinitis as the chief complaint. Methods Subjects were 80 children with allergic rhinitis. We calculated the average Ryodoraku Score (RS, ${\mu}A$), and compared the average of each meridian system. And we classified the children by several groups (depending on age, additional allergic disease), and accomplished a comparative analysis. Results 1. The average of Ryodoraku Score in 80 children was $76.36{\pm}22.72$. 2. The figure of H3 (心), H5 (三焦), F1 (脾), F2 (肝), F3 (腎), F4 (膀胱), F5 (三焦), F6 (胃) had significant statistical differences compared to the total average. 3. Comparing the group having only allergic rhinitis to group having allergic rhinitis and other allergic disease, showed significant statistical difference in H2 (心包), H3 (心). 4. Analyzed by age, there's a significant statistical difference in F1 (脾), F4 (膀胱). Conclusion We found that H5 (三焦), F1 (脾), F4 (膀胱) showed significant statistical difference in Ryodoraku Score, and F1 (脾) had the highest relevance. The research indicate meaningful difference depending on age, additional allergic disease.

• 한국융합학회논문지
• /
• 제13권2호
• /
• pp.13-20
• /
• 2022

본 연구는 딥러닝 기법을 활용하여 범죄 수사 도메인에 특화된 개체명 인식 모델을 개발하는 연구이다. 본 연구를 통해 비정형의 형사 판결문·수사 문서와 같은 텍스트 기반의 데이터에서 자동으로 범죄 수법과 범죄 관련 정보를 추출하고 유형화하여, 향후 데이터 분석기법을 활용한 범죄 예방 분석과 수사에 기여할 수 있는 시스템을 제안한다. 본 연구에서는 범죄 수사 도메인 텍스트를 수집하고 범죄 분석의 관점에서 필요한 개체명 분류를 새로 정의하였다. 또한 최근 자연어 처리에서 높은 성능을 보이고 있는 사전학습 언어모델인 KoELECTRA를 적용한 제안 모델은 본 연구에서 정의한 범죄 도메인 개체명 실험 데이터의 9종의 메인 카테고리 분류에서 micro average(이하 micro avg) F1-score 99%, macro average(이하 macro avg) F1-score 96%의 성능을 보이고, 56종의 서브 카테고리 분류에서 micro avg F1-score 98%, macro avg F1-score 62%의 성능을 보인다. 제안한 모델을 통해 향후 개선 가능성과 활용 가능성의 관점에서 분석한다.

• 통합자연과학논문집
• /
• 제11권3호
• /
• pp.161-164
• /
• 2018

Over the past decade, mass spectrometry-based metabolomics, especially two dimensional gas chromatography mass spectrometry (GCxGC/TOF-MS), has become a key analytical tool for metabolomics data because of its sensitivity and ability to analyze complex biological or biochemical sample. However, the need to reduce variations within/between experiments has been reported and methodological developments to overcome such problem has long been a critical issue. Along with methodological developments, developing reasonable performance measure has also been studied. Following four numerical measures have been typically used for comparison: sensitivity, specificity, receiver operating characteristic (ROC) curves, and positive predictive value (PPV). However, more recently, such measures are replaced with F1 score in many fields including metabolomics area without any carefulness of its validity. Thus, we want to investigate the validity of F1 score on two examples, with the goal of raising the awareness in choosing appropriate performance comparison measure. We noticed that F1 score itself, as a performance measure, was not good enough. Accordingly, we suggest that F1 score be supplemented with other performance measure such as specificity to improve its validity.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
• /
• 한국정보과학회언어공학연구회 2016년도 제28회 한글 및 한국어 정보처리 학술대회
• /
• pp.321-323
• /
• 2016

최근 연구에서 기계학습 중 지도학습 방법으로 개체명 인식을 하고 있다. 그러나 지도 학습 방법은 데이터를 만드는 비용과 시간이 많이 필요로 한다. 본 연구에서는 주석 된 말뭉치를 사용하여 지도 학습 방법을 사용 한다. 의생명 개체명 인식은 Protein, RNA, DNA, Cell type, Cell line 등을 포함한 텍스트 처리에 중요한 기초 작업입니다. 그리고 의생명 지식 검색에서 가장 기본과 핵심 작업 중 하나이다. 본 연구에서는 순환형 신경망과 워드 임베딩을 자질로 사용한 조건적 임의 필드에 대한 성능을 비교한다. 조건적 임의 필드에 N_Gram만을 자질로 사용한 것을 기준점으로 설정 하였고, 기준점의 결과는 70.09% F1 Score이다. RNN의 jordan type은 60.75% F1 Score, elman type은 58.80% F1 Score의 성능을 보여준다. 조건적 임의 필드에 CCA, GLOVE, WORD2VEC을 사용 한 결과는 각각 72.73% F1 Score, 72.74% F1 Score, 72.82% F1 Score의 성능을 얻을 수 있다.

• 동의신경정신과학회지
• /
• 제20권4호
• /
• pp.115-126
• /
• 2009

Objectives : This study was performed to investigate the relationship between decision making style and learning style according to Sasang constitution. Methods : The subjects were 213 nursing students of K college in Jeonbuk, and the period of data gathering was limited from 1 Sep. 2009 to 7 Sep. 2009. The instrument tools included QSCC II, decision making style, and learning style. The collected data were analyzed by SPSS-PC programme. Results : 1. Decision making style: Soeumin group had significantly high score in rational score compared with Soyangin(F=7.174 p=.001), and in dependent score compared with Taeumin and Soyangin (F=3.414, p=.035). 2. Learning style: Soyangin group had significantly high score in cooperation score compared with Taeumin(F=5.688 p=.004), and Taeumin group had significantly high score in emulous score compared with Soeumin and Soyangin (F=.148, p=.002). Conclusions : In conclusion, it was found that decision making style and learning style are significantly different according to Sasang constitution. Therefore, these results suggest that nursing educational program needs to be developed considering Sasang constitution.

• 한국가축번식학회지
• /
• 제12권2호
• /
• pp.77-83
• /
• 1988

This study was done with mouse embryo to assess effects of freezing media containing sucrose, freezing metods(1-F, 0.3$^{\circ}C$/min;2-F, 3-5$^{\circ}C$/min;3-F, 15$^{\circ}C$min;4-F, LN2 vapour) and cell freezers on the embryo survival determined using the FDA test. The results are summarized as follows. 1. The FDA score obtained with 1, 2, 3 and 4-F was 3.8, 3.6, 3.2 and 3.2, respectively. There was a significant difference(P<0.05) between 1-F, 3-F and 2-F, 4-F. 2. The score at the morular stage(3.8) higher(P<0.005) than the blastocyst stage of embryos(3.2). 3. No difference (P>0.05) was found between the score obtained with a automatic embryo freezer(4.0) and a liquid nitrogen container(3.7).

• 재활간호학회지
• /
• 제5권1호
• /
• pp.71-85
• /
• 2002

The purpose of study was to find out the relation ship between health perception and health status of clinical nurses. It also identified factors that related to health perception and health status of clinical nurses. The research design was descriptive correlational study. The subjects were consisted of 289 clinical nurses at the university hospital in Pusan. The data were collected from Feb. 12th to Feb. 28th, 2001 by self reporting structured questionnaires. The instruments used for this study were health perception questionnaire developed by Ware and Cornell Medical Index modified by Nam Ho-Chang (1965) for measuring health status. The data were analyzed by SPSS/PC+ program using frequency, percentage, mean, mean mark, standard deviation, t-test, ANOVA, Scheffe test, and Pearson's correlation coefficient. The results of this study were as follows. 1. The mean score of the health perception was $94.70{\pm}8.93$(range : 29-145), which the item mean mark score was $3.27{\pm}$0.31(range 1-5). The score of subarea of the health perception was the highest score in health concern ($4.57{\pm}0.58$) and the lowest score in rejection of sick role($2.94{\pm}0.32$). 2. The mean score of the health status was $102.83{\pm}7.61$(range: 57-114), which the item mean mark score was $1.80{\pm}0.13$ (range : 1-2). The mean mark score of the physical health status was $62.55{\pm}5.35$($1.69{\pm}0.14$) and the mental health status was $40.28{\pm}3.51$($1.83{\pm}0.16$). 3. There were statistically significant difference in the score of health perception according to the presence of disease(F=4.607, P=.011), job satisfaction (F=12.242, P=.000), and job place(F=2.838, P=.038). 4. There were statistically significant difference in the score of health status according to the age(F=3.164, P=.007), presence of leisure time(F=4.308, P=.039), presence of diseases(F=3.215, P=.042), job experience(F=9.064, P=.000), job satisfaction(F=7.182, P=.001), job place (F=5.638, P=.001), job position (F=3.900, P=.021). 5. Health perception of clinical nurse was shown to be positively related to health status(r=.543, p=.000). In conclusion, health perception of clinical nurse working at the university hospital was relatively high, and health status was fine. And the more health perception was high, the more health status was high. Therefore, the health promotion program for clinical nurses, should included health perception.

• Journal of Korea Artificial Intelligence Association
• /
• 제1권1호
• /
• pp.1-6
• /
• 2023

This study developed models using decision forest, support vector machine, and logistic regression methods to predict and prevent suicidal ideation among Korean adolescents. The study sample consisted of 51,407 individuals after removing missing data from the raw data of the 18th (2022) Youth Health Behavior Survey conducted by the Korea Centers for Disease Control and Prevention. Analysis was performed using the MS Azure program with Two-Class Decision Forest, Two-Class Support Vector Machine, and Two-Class Logistic Regression. The results of the study showed that the decision forest model achieved an accuracy of 84.8% and an F1-score of 36.7%. The support vector machine model achieved an accuracy of 86.3% and an F1-score of 24.5%. The logistic regression model achieved an accuracy of 87.2% and an F1-score of 40.1%. Applying the logistic regression model with SMOTE to address data imbalance resulted in an accuracy of 81.7% and an F1-score of 57.7%. Although the accuracy slightly decreased, the recall, precision, and F1-score improved, demonstrating excellent performance. These findings have significant implications for the development of prediction models for suicidal ideation among Korean adolescents and can contribute to the prevention and improvement of youth suicide.